SOTAVerified

Reinforcement Learning (RL)

Reinforcement Learning (RL) involves training an agent to take actions in an environment to maximize a cumulative reward signal. The agent interacts with the environment and learns by receiving feedback in the form of rewards or punishments for its actions. The goal of reinforcement learning is to find the optimal policy or decision-making strategy that maximizes the long-term reward.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6176–6200 of 15113 papers

TitleStatusHype
TransDreamer: Reinforcement Learning with Transformer World Models—0
A Behavior Regularized Implicit Policy for Offline Reinforcement Learning—0
Can Interpretable Reinforcement Learning Manage Prosperity Your Way?—0
Distributed Multi-Agent Reinforcement Learning with One-hop Neighbors and Compute Straggler MitigationCode1
tinyMAN: Lightweight Energy Manager using Reinforcement Learning for Energy Harvesting Wearable IoT Devices—0
UAV Base Station Trajectory Optimization Based on Reinforcement Learning in Post-disaster Search and Rescue Operations—0
VRL3: A Data-Driven Framework for Visual Deep Reinforcement LearningCode2
Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization—0
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban DrivingCode1
A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization—0
Improving Intrinsic Exploration with Language Abstractions—0
BADDr: Bayes-Adaptive Deep Dropout RL for POMDPs—0
A Survey of Explainable Reinforcement Learning—0
Retrieval-Augmented Reinforcement Learning—0
Should I send this notification? Optimizing push notifications decision making by modeling the future—0
Robust Reinforcement Learning via Genetic Curriculum—0
Soft Actor-Critic Deep Reinforcement Learning for Fault Tolerant Flight ControlCode1
Open-Ended Reinforcement Learning with Neural Reward FunctionsCode1
Policy Learning and Evaluation with Randomized Quasi-Monte Carlo—0
Branching Reinforcement Learning—0
Domain Adaptive Fake News Detection via Reinforcement Learning—0
An Intrusion Response System utilizing Deep Q-Networks and System PartitionsCode0
Deep Reinforcement Learning Based Multi-Access Edge Computing Schedule for Internet of Vehicle—0
Energy-Efficient Parking Analytics System using Deep Reinforcement LearningCode0
Safe Reinforcement Learning by Imagining the Near FutureCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PPGMean Normalized Performance0.76—Unverified
2PPOMean Normalized Performance0.58—Unverified